For decades, human capital has been measured in relatively simple ways. Academic training, professional experience, observable productivity. Resumes, job titles, salaries. But this logic is quickly becoming obsolete. In 2026, what truly starts to differentiate people, companies, and even countries is not only what someone knows how to do, but what data can reveal about how that person lives, decides, learns, falls ill, reacts to stress, and adapts to change.
We’re entering an era in which data about health, behavior, and cognition stop being just personal information and begin to function as new economic assets—silent, sensitive, and extremely valuable.
Wearables monitor sleep, heart rate, and stress levels. Work platforms analyze patterns of focus, collaboration, and decision-making. Adaptive educational systems collect cognitive data about learning pace, retention, and mental fatigue. The result is a much deeper and ongoing portrait of the individual.
Human capital is no longer static. It becomes dynamic, measurable, and modelable.
Asset 1: Health data
Health has always been an economic factor, but now it’s also real-time data. Insurance companies, health plans, and even financial institutions are becoming increasingly interested not just in diagnoses, but in early signals.
Irregular sleep patterns, variations in heartbeats, subtle changes in digital behavior. All of this can indicate future risk: burnout, time off work, falling productivity, and rising medical costs.
It’s no coincidence that corporate wellness programs are shifting from generic initiatives to highly personalized models based on physiological and behavioral data. Taking care of health is no longer just an HR agenda—it becomes a risk-management strategy.
Asset 2: Cognition data
If health data is already valuable, cognitive data is moving toward becoming even more strategic.
How does a person learn? How long do they maintain focus? How do they react to pressure? What’s their decision-making pattern in ambiguous scenarios? These questions have always been difficult to answer. Now, they begin to be inferred through digital interactions, adaptive tests, simulations, and even language analysis.
Companies operating in high-complexity environments (technology, finance, logistics, defense, healthcare) know that cognitive performance is not uniform. It varies with context, emotional load, the environment, and mental health. Having data about this means allocating people better, reducing critical errors, and increasing organizational resilience.
Asset 3: Behavior data
Beyond health and cognition, there’s behavior: how someone consumes, moves around, interacts, responds to incentives, or changes habits.
This data is already widely used in marketing. But its use is expanding into areas like credit, insurance, education, and even public policies. Behavioral models help predict delinquency, school dropout, accidents, adherence to treatments, and even the risk of radicalization.
Behavior becomes a proxy for stability, adaptability, and trustworthiness. These are core characteristics of the new human capital.
A valuable… and sensitive asset
Here’s the point of tension: the more valuable these data become, the more delicate their use becomes.
Health, cognition, and behavior data are not just technical information. They touch identity, dignity, and autonomy. The risk of algorithmic discrimination, excessive surveillance, and coercive use is real.
Companies that treat these data only as an economic input tend to face social, regulatory, and reputational resistance. Meanwhile, those that build models based on transparency, consent, and a clear purpose can turn sensitive data into sustainable advantage.
Inevitably, the new human capital requires a new data ethics.
What changes for companies and managers
For leaders and managers, this transformation brings clear challenges:
- HR starts operating as a data function, not just a people function.
- Business strategy intersects with health, well-being, and continuous learning.
- Privacy stops being only compliance and becomes a competitive differentiator.
- Decisions stop being based only on past history and begin to consider future human trends.
This isn’t about controlling people, but about understanding complex human systems better and acting responsibly on that understanding.
The most contested capital of the century
What was once defined by industrial capital is now driven by digital capital. Now, we enter the era of data-driven human capital.
Health, behavior, and cognition are not just individual characteristics. They are variables that shape productivity, innovation, risk, and resilience at the social scale.
Whoever understands this early—and knows how to handle these data intelligently and responsibly—will gain an advantage that’s hard to replicate.
Because, in the end, the most valuable asset of the future isn’t the machine.
It’s the human… understood in depth.
